Universidad Peruana Cayetano Heredia

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study

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dc.contributor.author Bernabé Ortiz, Antonio
dc.contributor.author Carrillo Larco, Rodrigo Martín
dc.contributor.author Gilman, Robert Hugh
dc.contributor.author Smeeth, Liam
dc.contributor.author Checkley, William
dc.contributor.author Miranda, J. Jaime
dc.date.accessioned 2023-02-20T13:28:09Z
dc.date.available 2023-02-20T13:28:09Z
dc.date.issued 2023
dc.identifier.uri https://hdl.handle.net/20.500.12866/13118
dc.description.abstract Objective: We aimed (1) to evaluate the agreement between two methods (equation and bio-impedance analysis [BIA]) to estimate skeletal muscle mass (SMM), and (2) to assess if SMM was associated with all-cause mortality risk in individuals across different geographical sites in Peru.Methods:We used data from the CRONICAS Cohort Study (2010-2018), a population-based longitudinal study in Peru to assess cardiopulmonary risk factors from different geographical settings. SMM was computed as a function of weight, height, sex and age (Lee equation) and by BIA. All-cause mortality was retrieved from national vital records. Cox proportional-hazard models were developed and results presented as hazard ratios (HRs) with 95% confidence intervals (95% CIs).Results: At baseline, 3216 subjects, 51.5% women, mean age 55.7 years, were analysed. The mean SMM was 23.1 kg (standard deviation [SD]: 6.0) by Lee equation, and 22.7 (SD: 5.6) by BIA. Correlation between SMM estimations was strong (Pearson's rho coefficient = 0.89, p < 0.001); whereas Bland-Altman analysis showed a small mean difference. Mean follow-up was 7.0 (SD: 1.0) years, and there were 172 deaths. In the multivariable model, each additional kg in SMM was associated with a 19% reduction in mortality risk (HR = 0.81; 95% CI: 0.75-0.88) using the Lee equation, but such estimate was not significant when using BIA (HR = 0.98; 95% CI: 0.94-1.03). Compared to the lowest tertile, subjects at the highest SMM tertile had a 56% reduction in risk of mortality using the Lee equation, but there was no such association when using BIA estimations.Conclusion: There is a strong correlation and agreement between SMM estimates obtained by the Lee equation and BIA. However, an association between SMM and all-cause mortality exists only when the Lee equation is used. Our findings call for appropriate use of approaches to estimate SMM, and there should be a focus on muscle mass in promoting healthier ageing. en_US
dc.language.iso eng
dc.publisher Wiley
dc.relation.ispartofseries Tropical Medicine and International Health
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject all-cause mortality en_US
dc.subject bio-impedance analysis en_US
dc.subject cohort study en_US
dc.subject skeletal muscle mass en_US
dc.subject.mesh Mortality
dc.subject.mesh Electric Impedance
dc.subject.mesh Cohort Studies
dc.subject.mesh Muscle, Skeletal
dc.title Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1111/tmi.13844
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.03.06
dc.relation.issn 1365-3156


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